Strong diagnosability and conditional diagnosability of augmented cubes under the comparison diagnosis model

Won Sin Hong, Sun Yuan Hsieh

研究成果: Article同行評審

62 引文 斯高帕斯(Scopus)

摘要

The problem of fault diagnosis has been discussed widely, and the diagnosability of many well-known networks has been explored. Strong diagnosability, and conditional diagnosability are both novel measurements for evaluating reliability and fault tolerance of a system. In this paper, some useful sufficient conditions are proposed to determine strong diagnosability, and the conditional diagnosability of a system. We then apply them to show that an n-dimensional augmented cube AQ n is strongly (2n-1)-diagnosable for n ≥ 5, and the conditional diagnosability of AQ n is 6n-17 for n ≥ 6. Our result demonstrates that the conditional diagnosability of AQ n is about three times larger than the classical diagnosability.

原文English
文章編號6041047
頁(從 - 到)140-148
頁數9
期刊IEEE Transactions on Reliability
61
發行號1
DOIs
出版狀態Published - 2012 3月

All Science Journal Classification (ASJC) codes

  • 安全、風險、可靠性和品質
  • 電氣與電子工程

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